British Sign Language Recognition via Late Fusion of Computer Vision and Leap Motion with Transfer Learning to American Sign Language

In this work, we show that a late fusion approach to multimodality in sign language recognition improves the overall ability of the model in comparison to the singular approaches of image classification (88.14%) and Leap Motion data classification (72.73%). With a large synchronous dataset of 18 BSL...

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Detalles Bibliográficos
Autores principales: Bird, Jordan J., Ekárt, Anikó, Faria, Diego R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571093/
https://www.ncbi.nlm.nih.gov/pubmed/32917024
http://dx.doi.org/10.3390/s20185151

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7571093/
https://www.ncbi.nlm.nih.gov/pubmed/32917024
http://dx.doi.org/10.3390/s20185151

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